2025 上半年大模型中标项目盘点：百度智能云、科大讯飞、火山引擎位列前三

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07/07

2025 年上半年，全球 AI 产业迎来关键拐点。多模态理解、深度逻辑推理等核心能力实现重大突破，大模型加速渗透产业核心场景，推动 AI 从通用能力向深度行业应用转变。这一趋势在招投标市场越发明显，最新数据显示，2025 上半年我国大模型相关项目呈现爆发式增长态势：中标项目累计达 1810 个，金额突破 64 亿元，中标项目数超 2024 全年，市场需求持续释放。在竞争格局方面，百度智能云表现尤为...

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亿元中标金额，稳居“双第一”，并在金融、能源、政务、制造等重点行业中持续领跑。科大讯飞、火山引擎紧随其后。整体趋势表明，大模型市场正从“通用竞争”迈入“行业深耕”阶段，技术实力与落地能力成为决定成败的关键要素。依托领先的大模型技术与全栈智能基础设施，百度智能云持续助力企业高效部署与应用 AI。目前已有 65% 的央企选择与百度智能云开展深度合作，共同探索 AI 创新。得益于大模型市场的领先优势，百度智能云 2025 年第一季度业务表现强劲，同比增长达 42%。领跑央国企市场，65% 央企选择百度智能云近年来，随着央国企加速布局产业大模型，以央国企为代表的传统行业已成为大模型招投标市场的主力军。百度智能云持续领跑央国企大模型中标市场，并将全栈 AI 能力深度融入企业核心业务，携手多家央国企打造出一批可复制、可推广的行业标杆案例。在能源领域，百度智能云联合国家电网打造的“营销供电方案智能体”，已实现从用户对话受理到供电方案编制全流程的智能化。用户通过国网 App 提交需求后，智能体自动识别意图、拆解任务，调用专家模型和多种工具核验信息、填报工单，并生成多套供电方案。在交通领域，百度智能云打造的“公路应急指挥智能体”已在河北京雄高速落地使用，能高效识别如异常停车等突发事件，并快速生成处置预案，显著缩短应急响应时间，将预警准确率提升至 95% 以上。在金融领域，百度智能云与招商银行也正基于昆仑芯 P800 开展算力合作，凭借昆仑芯独特的技术优势，为招商银行构建了稳定高效的算力基础设施，全面支持各类开源大模型的稳定运行，显著提升了招行在多模态数据分析、智能客服、代码助手等场景的应用效能。全栈智能基础设施，加速企业大模型应用落地大模型的应用落地亟需从底层算力到应用的全栈、系统级支撑 —— 既需高性能硬件与集群优化，也需灵活的开发工具链与场景化解决方案。基于多年在大模型研发与产业落地的深厚积累，百度智能云构建了新一代全栈智能基础设施，为企业大模型应用落地提供最佳解决方案。在算力层面，百度成功点亮了昆仑芯三万卡集群。目前，国家电网、中国钢研、招商银行，以及北大、同济等高校和互联网企业，已经开始规模部署昆仑芯。同时为了保障算力集群稳定高效地运行，百度智能云提供百舸 GPU 算力平台，能够最大化释放算力性能，为企业大模型的训推任务提供了可靠支撑。在模型层面，今年 4 月，百度全新发布了两款旗舰模型：文心 4.5 Turbo 和 X1 Turbo，具备领先的阅读理解、数理逻辑、多模态感知与推理能力。同时，为了方便企业及开发者结合自身业务场景进行应用开发，百度智能云千帆大模型平台提供覆盖 Agent 开发、管理全生命周期的一站式工具链，帮助企业快速构建属于自己的智能体生态。在应用层面，百度智能云推出精选“行业场景智能体家族”，目前已在千帆平台上线。这些智能体通过轻量定制，即可快速接入企业业务系统，显著加快 AI 在各行业的落地速度。企业可以灵活组合不同底层模型，调度工具与任务链，并通过知识增强和流程编排形成完整应用闭环。目前，百度智能云从算力、平台到应用的系统级能力，已经在多个企业场景中稳定运行。以钢铁行业为例，中国钢研基于昆仑芯和百舸，搭建了专属的算力平台；并在千帆上做模型精调，使用大、小模型结合的方式获得最佳效果；同时结合一见视觉平台，快速完成了表面缺陷检测、金相分析等核心场景的应用开发。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"symbols":[],"gpt_button":1,"need_auth":false,"code":"91000000","status":"200"}}}